CSP Inc (CSPI) Fair Value & Analysis
Technology · US · Market cap $85.6M
Fair value as of: Jun 24, 2026
Analysis
CSP Inc (CSPI) currently trades at $8.71, while our model-based Fair Value estimate is $4.88 — implying the stock looks roughly 44.0% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
CSP Inc. develops and markets IT integration solutions, security products, managed IT services, cloud services, network adapters, and cluster computer systems for commercial and defense customers worldwide. The Technology Solutions segment provides third-party hardware, software, and information technology products, such as data center infrastructure solutions, midrange data storage infrastructure products, networking and mobility products, unified communications, and advanced IT security hardware and software solutions. This segment also offers hyper-converged infrastructure, a software-centric architecture that tightly integrates compute, storage, and virtualization resources in a single system; virtualization; IT consulting services, such as assessments, planning, designing, assessment, implementation, migration, optimization, and project management; enterprise security intrusion prevention, network access control, and unified threat management services; and IT security complianc…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.